Exploring matrix factorization techniques for significant genes identification of Alzheimer’s disease microarray gene expression data

Gene expression patterns were determined by analyzing microarray data of TaWRKY68 in wheat and of orthologous genes from maize, rice and barley using Genevestigator.. TaWRKY68

During the implementation of this algorithm , number of permutations are applied on data to calculated false discovery rate. It has been found that FDR is more accurate as the

In this study, we assessed the suitability of six reference genes frequently used in the literature ( ACTB , B2M , GAPDH , HPRT1 , TBP and TFRC ) using samples from 3 sites within

Apesar de 6 dos 10 estudos clínicos serem longitudinais, adequados para pesquisa de fatores prognósticos (4 para flexibilidade como fator de risco para lesões e 2 como não

Abstract – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare

Here, the microarray images have been taken from the database called Stanford Medical Database (SMD), which is one of the famous microarray databases.

The case of South Korea Oxford Review of Education Waldow, Florian 2017 Projecting images of the ‘good’ and the ‘bad school’: top scorers in educational large-scale assessments as

Results: Microarray based gene expression data and protein-protein interaction (PPI) databases were combined to construct the PPI networks of differentially expressed (DE) genes in

Using data from a microarray analysis of gene expression along a time course of differentiation (Figure S1A) [22], we analyzed the linear chromosomal distribution of co-regulated